The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

C Yang, M Chen, Q Yuan - Accident Analysis & Prevention, 2021 - Elsevier
Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …

Analyzing the leading causes of traffic fatalities using XGBoost and grid-based analysis: a city management perspective

J Ma, Y Ding, JCP Cheng, Y Tan, VJL Gan… - IEEE Access, 2019 - ieeexplore.ieee.org
Traffic accidents have been one of the most important global public problems. It has caused
a severe loss of human lives and property every year. Studying the influential factors of …

Commercial truck crash injury severity analysis using gradient boosting data mining model

Z Zheng, P Lu, B Lantz - Journal of safety research, 2018 - Elsevier
Introduction Truck crashes contribute to a large number of injuries and fatalities. This study
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …

Analysis of factors affecting the severity of automated vehicle crashes using XGBoost model combining POI data

H Chen, H Chen, Z Liu, X Sun… - Journal of advanced …, 2020 - Wiley Online Library
The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …

Predicting Freeway Traffic Crash Severity Using XGBoost‐Bayesian Network Model with Consideration of Features Interaction

Y Yang, K Wang, Z Yuan, D Liu - Journal of advanced …, 2022 - Wiley Online Library
In the field of freeway traffic safety research, there is an increasing focus in studies on how to
reduce the frequency and severity of traffic crashes. Although many studies divide factors …

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

X Wen, Y Xie, L Wu, L Jiang - Accident Analysis & Prevention, 2021 - Elsevier
Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …

Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

A Hosseinzadeh, A Moeinaddini… - Journal of safety …, 2021 - Elsevier
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …

Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

AB Parsa, A Movahedi, H Taghipour, S Derrible… - Accident Analysis & …, 2020 - Elsevier
Detecting traffic accidents as rapidly as possible is essential for traffic safety. In this study, we
use eXtreme Gradient Boosting (XGBoost)—a Machine Learning (ML) technique—to detect …

Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach

MT Haq, M Zlatkovic, K Ksaibati - Accident Analysis & Prevention, 2020 - Elsevier
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …

Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models

MM Ahmed, R Franke, K Ksaibati… - Accident Analysis & …, 2018 - Elsevier
Roadway safety is an integral part of a functioning infrastructure. A major use of the highway
system is the transport of goods. The United States has experienced constant growth in the …